
Advanced Data Analytics Engineer
1 week ago
Job Description:
As a key team member within the Advanced Data Analytics team, you will be responsible for driving initiatives that significantly enhance yield and quality through advanced data analysis, machine learning, and AI. You will spearhead the development of high-performing teams to drive business outcomes and ensure technical excellence.
Key Responsibilities:
- Develop state-of-the-art algorithms, including Machine Learning and Deep Learning models, to advance data mining and pattern recognition for quality enhancement, yield improvement, wafer/die level screening and efficiency enhancement.
- Create robust product disposition solutions to ensure quality and reduce Defects Per Million (DPM) through a comprehensive product disposition program/workflow.
- Design and implement a deviation alert system to monitor yield loss, characteristic/parameter trends, and wafer/die/cube shading.
- Collaborate with cross-functional teams to develop and enhance the data infrastructure pipeline using cloud technologies to support reliability and engineering assessments.
- Actively mentor and develop team members to foster growth and development within the team and the organization.
Requirements:
- Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Artificial Intelligence, or related fields.
- At least 10 years of experience in data analytics/science industry.
- Proven experience in leading analytic projects from conception to completion.
- Demonstrate strong leadership and technical skills with a deep understanding of data analytics, data extraction, and analysis tools.
Benefits:
- Opportunity to work on cutting-edge technologies and projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Others:
- Experience in mentoring and coaching team members to develop their skills and advance their careers.
- Strong sense of responsibility and accountability towards assigned role with professional work ethic.
- Work on site in Singapore with international travel to Taiwan.
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